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Record W2797294999

ETUDE ET CONCEPTION D'UN DISPOSITIF DE REFRIGERATION MAGNETIQUE BASE SUR L'EFFET MAGNETOCALORIQUE GEANT

2008· preprint· en· W2797294999 on OpenAlexaboutno aff
Farid Allab

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2008
Typepreprint
Languageen
FieldMaterials Science
TopicMagnetic and transport properties of perovskites and related materials
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhysicsPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

The various environmental agreements prohibit the use of usual refrigerants (protocol of Montreal: FC and HCFC and protocol of Kyoto: HFC). It is thus relevant to carry out, in parallel to the current work on the new refrigerating fluids, a research of new solutions of refrigeration ensuring high energy effectiveness and a weak environmental impact. The magnetic refrigeration constitutes one of the solutions. This technology is based on the magnetocaloric effect (MCE), an intrinsic property of certain magnetic materials. Taking into account this activity of innovative research, we chose a global approach in which we tried to master the various aspects of this technology: from the physical principle to the application. With this intention, tools of assistance to comprehension and the design were developed and exploited for the dimensioning of a rotary magnetic refrigeration device with permanent magnets.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0030.003
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.210
Teacher spread0.199 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2008
Admission routes1
Has abstractyes

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